Devoção e moda
نویسندگان
چکیده
منابع مشابه
Liveness detection using cross-moda person authent
In this paper we show the potential of two new features as powerful anti-spoofing measures for face-voice person authentication systems. The features based on latent semantic analysis (LSA) and canonical correlation analysis (CCA), enhance the performance of the authentication system in terms of better anti-imposture abilities and guard against video replay attacks, which is a challenging type ...
متن کاملNONENZYMATIC BROWNIIK IN MODa SYSTEMS C0NUIMN6 SUQOSE
Freeze-dried systems containing sucrose and organic acids were found to undergo rapid nonenzymatic browning, even at low relative humidities. Addition of protein reduced the rate of browning, especially at low humidities. It was determined that the browning was due to reducing sugars produced by acid-catalyzed hydrolysis of sucrose. This hydrolysis occurred even when water content was well belo...
متن کاملModa-ML: Building a Collaborative Sectoral Framework based on ebXML
Inter-company data interchange within a specific industrial sector is necessarily based on standard document formats, structures, and transmission protocols. In this perspective, the MODA-ML project has developed an interoperability architecture for the Textile/Clothing sector based on XML technology; in particular ebXML has been adopted as the reference specification in defining and exchanging...
متن کاملMODA A Framework for Memory Centric Performance Characterization
In the age of massive parallelism, the focus of performance analysis has switched from the processor and related structures to the memory and I/O resources. Adapting to this new reality, a performance analysis tool has to provide a way to analyze resource usage to pinpoint existing and potential problems in a given application. This requires (1) memory trace collection with minimal perturbation...
متن کاملMODA: MOdule Differential Analysis for weighted gene co-expression network
Gene co-expression network differential analysis is designed to help biologists understand gene expression patterns under different conditions. We have implemented an R package called MODA (Module Differential Analysis) for gene co-expression network differential analysis. Based on transcriptomic data, MODA can be used to estimate and construct condition-specific gene co-expression networks, an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: DAPesquisa
سال: 2015
ISSN: 1808-3129
DOI: 10.5965/1808312910132015134